Calamos Etf Trust Etf Market Value

CPST Etf  USD 25.37  0.02  0.08%   
Calamos ETF's market value is the price at which a share of Calamos ETF trades on a public exchange. It measures the collective expectations of Calamos ETF Trust investors about its performance. Calamos ETF is selling for under 25.37 as of the 13th of December 2024; that is 0.08 percent up since the beginning of the trading day. The etf's last reported lowest price was 25.37.
With this module, you can estimate the performance of a buy and hold strategy of Calamos ETF Trust and determine expected loss or profit from investing in Calamos ETF over a given investment horizon. Check out Calamos ETF Correlation, Calamos ETF Volatility and Calamos ETF Alpha and Beta module to complement your research on Calamos ETF.
Symbol

The market value of Calamos ETF Trust is measured differently than its book value, which is the value of Calamos that is recorded on the company's balance sheet. Investors also form their own opinion of Calamos ETF's value that differs from its market value or its book value, called intrinsic value, which is Calamos ETF's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Calamos ETF's market value can be influenced by many factors that don't directly affect Calamos ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Calamos ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Calamos ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Calamos ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Calamos ETF 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Calamos ETF's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Calamos ETF.
0.00
12/19/2023
No Change 0.00  0.0 
In 11 months and 27 days
12/13/2024
0.00
If you would invest  0.00  in Calamos ETF on December 19, 2023 and sell it all today you would earn a total of 0.00 from holding Calamos ETF Trust or generate 0.0% return on investment in Calamos ETF over 360 days. Calamos ETF is related to or competes with FT Vest, Northern Lights, Dimensional International, JPMorgan Fundamental, Matthews China, Davis Select, and Dimensional ETF. Capstone Turbine Corporation develops, manufactures, markets, and services microturbine technology solutions for use in ... More

Calamos ETF Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Calamos ETF's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Calamos ETF Trust upside and downside potential and time the market with a certain degree of confidence.

Calamos ETF Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Calamos ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Calamos ETF's standard deviation. In reality, there are many statistical measures that can use Calamos ETF historical prices to predict the future Calamos ETF's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Calamos ETF's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
25.2325.3725.51
Details
Intrinsic
Valuation
LowRealHigh
23.1523.2927.91
Details
Naive
Forecast
LowNextHigh
25.2425.3825.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.9625.1825.40
Details

Calamos ETF Trust Backtested Returns

Currently, Calamos ETF Trust is very steady. Calamos ETF Trust secures Sharpe Ratio (or Efficiency) of 0.19, which signifies that the etf had a 0.19% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Calamos ETF Trust, which you can use to evaluate the volatility of the entity. Please confirm Calamos ETF's Coefficient Of Variation of 411.34, risk adjusted performance of 0.1345, and Mean Deviation of 0.1041 to double-check if the risk estimate we provide is consistent with the expected return of 0.026%. The etf shows a Beta (market volatility) of 0.12, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Calamos ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Calamos ETF is expected to be smaller as well.

Auto-correlation

    
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No correlation between past and present

Calamos ETF Trust has no correlation between past and present. Overlapping area represents the amount of predictability between Calamos ETF time series from 19th of December 2023 to 16th of June 2024 and 16th of June 2024 to 13th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Calamos ETF Trust price movement. The serial correlation of 0.0 indicates that just 0.0% of current Calamos ETF price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.0

Calamos ETF Trust lagged returns against current returns

Autocorrelation, which is Calamos ETF etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Calamos ETF's etf expected returns. We can calculate the autocorrelation of Calamos ETF returns to help us make a trade decision. For example, suppose you find that Calamos ETF has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Calamos ETF regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Calamos ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Calamos ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Calamos ETF etf over time.
   Current vs Lagged Prices   
       Timeline  

Calamos ETF Lagged Returns

When evaluating Calamos ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Calamos ETF etf have on its future price. Calamos ETF autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Calamos ETF autocorrelation shows the relationship between Calamos ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Calamos ETF Trust.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
When determining whether Calamos ETF Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Calamos Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Calamos Etf Trust Etf. Highlighted below are key reports to facilitate an investment decision about Calamos Etf Trust Etf:
Check out Calamos ETF Correlation, Calamos ETF Volatility and Calamos ETF Alpha and Beta module to complement your research on Calamos ETF.
You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Calamos ETF technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
A focus of Calamos ETF technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Calamos ETF trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...